keras constraint doesn't get called2019 Community Moderator ElectionKeras Maxpooling2d layer gives ValueErrorUsing make_template() in TensorFlowUnderstanding Keras weight matrix of each layersError defining the architecture of a CNN using KerasKeras Multi GPU example gives ResourceExhaustedErrorGetting LinAlgError(“SVD did not converge”) when tensorflow imported to Keras skriptLSTM with Keras: Input 'ref' of 'Assign' Op requires l-value input'InputLayer' object has no attribute 'activity_regularizer'Resolving differences between Keras and scikit-learn for simple fully-connected neural networkTraining a tf.keras model with a basic low-level TensorFlow training loop doesn't work
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keras constraint doesn't get called
2019 Community Moderator ElectionKeras Maxpooling2d layer gives ValueErrorUsing make_template() in TensorFlowUnderstanding Keras weight matrix of each layersError defining the architecture of a CNN using KerasKeras Multi GPU example gives ResourceExhaustedErrorGetting LinAlgError(“SVD did not converge”) when tensorflow imported to Keras skriptLSTM with Keras: Input 'ref' of 'Assign' Op requires l-value input'InputLayer' object has no attribute 'activity_regularizer'Resolving differences between Keras and scikit-learn for simple fully-connected neural networkTraining a tf.keras model with a basic low-level TensorFlow training loop doesn't work
Keras constraint docs: https://keras.io/constraints/.
I used NonNeg constraint to keep some of my network dense layer weights positive, usage like :
layer1 = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=NonNeg())
But some of the layer weights is still negative, I viewed the source code of keras constraint: https://github.com/keras-team/keras/blob/master/keras/constraints.py#L62 , it's very straightforward. So I wonder if the constraint is not called. So I wrote a customed constraint which throw an exception directly as
class ConstraintDemo(Constraint):
def __init__(self):
logging.info("CONSTRAINT called")
def __call__(self, w):
raise RuntimeError("GLQ ERROR")
logging.info("CONSTRAINT called")
return tf.cast(tf.greater_equal(w, 0.), tf.float32)
And I called the class similarly by
layer = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=ConstraintDemo())
Only the init method get called.The call method should raise a RuntimeError and stop the training process. But it didn't.
Why?
tensorflow version: 1.12.0
keras version:2.0.6
tensorflow keras
asked 21 hours ago
richard.grichard.g
2,3251920
add a comment |
Keras constraint docs: https://keras.io/constraints/.
I used NonNeg constraint to keep some of my network dense layer weights positive, usage like :
layer1 = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=NonNeg())
But some of the layer weights is still negative, I viewed the source code of keras constraint: https://github.com/keras-team/keras/blob/master/keras/constraints.py#L62 , it's very straightforward. So I wonder if the constraint is not called. So I wrote a customed constraint which throw an exception directly as
class ConstraintDemo(Constraint):
def __init__(self):
logging.info("CONSTRAINT called")
def __call__(self, w):
raise RuntimeError("GLQ ERROR")
logging.info("CONSTRAINT called")
return tf.cast(tf.greater_equal(w, 0.), tf.float32)
And I called the class similarly by
layer = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=ConstraintDemo())
Only the init method get called.The call method should raise a RuntimeError and stop the training process. But it didn't.
Why?
tensorflow version: 1.12.0
keras version:2.0.6
tensorflow keras
asked 21 hours ago
richard.grichard.g
2,3251920
Please include the full model that includes this layer
– Matias Valdenegro
19 hours ago
add a comment |
Keras constraint docs: https://keras.io/constraints/.
I used NonNeg constraint to keep some of my network dense layer weights positive, usage like :
layer1 = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=NonNeg())
But some of the layer weights is still negative, I viewed the source code of keras constraint: https://github.com/keras-team/keras/blob/master/keras/constraints.py#L62 , it's very straightforward. So I wonder if the constraint is not called. So I wrote a customed constraint which throw an exception directly as
class ConstraintDemo(Constraint):
def __init__(self):
logging.info("CONSTRAINT called")
def __call__(self, w):
raise RuntimeError("GLQ ERROR")
logging.info("CONSTRAINT called")
return tf.cast(tf.greater_equal(w, 0.), tf.float32)
And I called the class similarly by
layer = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=ConstraintDemo())
Only the init method get called.The call method should raise a RuntimeError and stop the training process. But it didn't.
Why?
tensorflow version: 1.12.0
keras version:2.0.6
tensorflow keras
asked 21 hours ago
richard.grichard.g
2,3251920
Keras constraint docs: https://keras.io/constraints/.
I used NonNeg constraint to keep some of my network dense layer weights positive, usage like :
layer1 = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=NonNeg())
But some of the layer weights is still negative, I viewed the source code of keras constraint: https://github.com/keras-team/keras/blob/master/keras/constraints.py#L62 , it's very straightforward. So I wonder if the constraint is not called. So I wrote a customed constraint which throw an exception directly as
class ConstraintDemo(Constraint):
def __init__(self):
logging.info("CONSTRAINT called")
def __call__(self, w):
raise RuntimeError("GLQ ERROR")
logging.info("CONSTRAINT called")
return tf.cast(tf.greater_equal(w, 0.), tf.float32)
And I called the class similarly by
layer = Dense(1, activation='sigmoid', use_bias=True, kernel_constraint=ConstraintDemo())
Only the init method get called.The call method should raise a RuntimeError and stop the training process. But it didn't.
Why?
tensorflow version: 1.12.0
keras version:2.0.6
tensorflow keras
tensorflow keras
asked 21 hours ago
richard.grichard.g
2,3251920
asked 21 hours ago
richard.grichard.g
2,3251920
asked 21 hours ago
richard.grichard.g
2,3251920
asked 21 hours ago
richard.grichard.g
2,3251920
asked 21 hours ago
richard.grichard.g
2,3251920
2,3251920
Please include the full model that includes this layer
– Matias Valdenegro
19 hours ago
add a comment |
Please include the full model that includes this layer
– Matias Valdenegro
19 hours ago
Please include the full model that includes this layer
– Matias Valdenegro
19 hours ago
Please include the full model that includes this layer
– Matias Valdenegro
19 hours ago
add a comment |
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Please include the full model that includes this layer
– Matias Valdenegro
19 hours ago